We propose a unified set of distance-based performance metrics that address the power and extreme-error problems inherent in traditional measures for asset-pricing tests. From a Bayesian perspective, the distance metrics coherently incorporate both pricing errors and their standard errors....

This study develops an econometric model that incorporates features of price dynamics across assets as well as through time. With the dynamic factors extracted via the Kalman filter, we formulate an asset-pricing model, termed as the dynamic factor pricing model (DFPM). We then conduct...

The Fama–French pricing model with dynamic factors (DFPM) extracted via the Kalman filter from the six size and book-to-market portfolios has a good performance in understanding stock returns. Using international stock market data, we find that the DFPM significantly improves the...

Purpose: The purpose of this research is to investigate factors that contribute to technology firms paying higher compensation than non-technology firms, and why the mix of compensation at technology firms is different than the compensation packages at non-technology firms....

The dynamic betas for ten Canadian sector portfolios using the Kalman filter approach are estimated herein and are found to be best described by a mix of the random walk (trend) and mean-reverting (cycle) processes. The relative importance of the trend and cycle components of sector betas is...